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Christian Gossens

Explore the profile of Christian Gossens including associated specialties, affiliations and a list of published articles. Areas
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Articles 20
Citations 335
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Recent Articles
1.
Oh J, Capezzuto L, Kriara L, Schjodt-Eriksen J, van Beek J, Bernasconi C, et al.
Sci Rep . 2024 Jan; 14(1):122. PMID: 38168498
Floodlight Open was a global, open-access, digital-only study designed to understand the drivers and barriers in deployment and use of a smartphone app in a naturalistic setting and broad study...
2.
Chen O, Lipsmeier F, Phan H, Dondelinger F, Creagh A, Gossens C, et al.
IEEE J Biomed Health Inform . 2023 May; 27(7):3633-3644. PMID: 37134029
Personalized longitudinal disease assessment is central to quickly diagnosing, appropriately managing, and optimally adapting the therapeutic strategy of multiple sclerosis (MS). It is also important for identifying idiosyncratic subject-specific disease...
3.
Graves J, Ganzetti M, Dondelinger F, Lipsmeier F, Belachew S, Bernasconi C, et al.
Ann Clin Transl Neurol . 2022 Dec; 10(2):166-180. PMID: 36563127
Objective: To validate the smartphone sensor-based Draw a Shape Test - a part of the Floodlight Proof-of-Concept app for remotely assessing multiple sclerosis-related upper extremity impairment by tracing six different...
4.
Lipsmeier F, Simillion C, Bamdadian A, Tortelli R, Byrne L, Zhang Y, et al.
J Med Internet Res . 2022 Jun; 24(6):e32997. PMID: 35763342
Background: Remote monitoring of Huntington disease (HD) signs and symptoms using digital technologies may enhance early clinical diagnosis and tracking of disease progression, guide treatment decisions, and monitor response to...
5.
Bogaarts G, Zanon M, Dondelinger F, Derungs A, Lipsmeier F, Gossens C, et al.
Annu Int Conf IEEE Eng Med Biol Soc . 2021 Dec; 2021:6905-6910. PMID: 34892692
Signs and symptoms of movement disorders can be remotely measured at home through sensor-based assessment of gait. However, sensor noise may impact the robustness of such assessments, in particular in...
6.
Montalban X, Graves J, Midaglia L, Mulero P, Julian L, Baker M, et al.
Mult Scler . 2021 Jul; 28(4):654-664. PMID: 34259588
Background: Sensor-based monitoring tools fill a critical gap in multiple sclerosis (MS) research and clinical care. Objective: The aim of this study is to assess performance characteristics of the Floodlight...
7.
Cheng W, Bourke A, Lipsmeier F, Bernasconi C, Belachew S, Gossens C, et al.
Gait Posture . 2020 Dec; 84:120-126. PMID: 33310432
Background: People living with multiple sclerosis (MS) experience impairments in gait and mobility, that are not fully captured with manually timed walking tests or rating scales administered during periodic clinical...
8.
Bourke A, Scotland A, Lipsmeier F, Gossens C, Lindemann M
Sensors (Basel) . 2020 Oct; 20(20). PMID: 33086734
The measurement of gait characteristics during a self-administered 2-minute walk test (2MWT), in persons with multiple sclerosis (PwMS), using a single body-worn device, has the potential to provide high-density longitudinal...
9.
Creagh A, Simillion C, Bourke A, Scotland A, Lipsmeier F, Bernasconi C, et al.
IEEE J Biomed Health Inform . 2020 Aug; 25(3):838-849. PMID: 32750915
Leveraging consumer technology such as smartphone and smartwatch devices to objectively assess people with multiple sclerosis (PwMS) remotely could capture unique aspects of disease progression. This study explores the feasibility...
10.
Chen O, Lipsmeier F, Phan H, Prince J, Taylor K, Gossens C, et al.
IEEE Trans Biomed Eng . 2020 Apr; 67(12):3491-3500. PMID: 32324537
Objective: Parkinson's disease (PD) is a neurodegenerative disorder that affects multiple neurological systems. Traditional PD assessment is conducted by a physician during infrequent clinic visits. Using smartphones, remote patient monitoring...